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机构地区:[1]华南理工大学生物科学与工程学院,广州510006 [2]济南军区总医院医学影像科,济南250031
出 处:《医用生物力学》2014年第4期351-354,362,共5页Journal of Medical Biomechanics
摘 要:目的建立晕船适应性数学模型,为科学制定晕船适应性训练计划提供定量化研究工具。方法基于晕船适应性规律,建立晕船发生率(MSI)指数模型,以通过拟合训练数据提取航海适应率(AMSI)和适应速率(μ)等晕船适应性参数,并模拟AMSI和μ对MSI的影响。结果模型能够较好地拟合2次海上适应性训练数据,AMSI和μ在间断性训练中的拟合结果为0.87和0.048,而在连续性训练中则为0.81和0.34。提高AMSI和μ可增强晕船适应性训练效果。结论本文建立的MSI模型可用于晕船适应性训练的效果评估和最优策略制定。Objective To provide a quantitative analysis tool by building a mathematical model of seasickness ha- bituation to make adaptive training plans scientifically for anti-seasickness purpose. Methods Based on the regu- lar pattern of seasickness habituation, an exponential model of motion sickness incidence (MSI) was established to extract such seasickness habituation parameters as anti-motion sickness incidence (AMSI) and anti-motion sickness rate (μ) through making the seasickness habituation data fitting into the corresponding training, and the effects of AMSI and tJ on MSI was also simulated. Results The data from two marine adaptive trainings were well fitted with the MSI model, and the fitting results of AMSI and ~ were 0.87 and 0.048 for intermittent training, or 0, 81 and 0, 34 for continuous training, Effects of seasickness habituation training would be enhanced by increas- ing the value of AMSI and ~. Conclusions The present model of MSI is suitable for evaluating the effect of train- ing on anti-seasickness and making the optimal strategy for such seasickness habituation training.
分 类 号:R318.01[医药卫生—生物医学工程]
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